added b1ade_models.py

mteb/models/b1ade_models.py

@@ -0,0 +1,36 @@
+from __future__ import annotations
+
+from mteb.model_meta import ModelMeta, sentence_transformers_loader
+
+b1ade_training_data = {
+    # We are in teh process of submitting a paper outlining our process of creating b1ade using model merging and knowledge distillation.
+    # Similar to mixedbread models, we do not train on any data (except the MSMarco training split) of MTEB.
+    "MSMARCO": [],
+}
+
+b1ade_embed = ModelMeta(
+    name="b1ade-embed",
+    languages=["eng-Latn"],
+    revision="3bdac13927fdc888b903db93b2ffdbd90b295a69",
+    open_weights=True,
+    release_date="2025-03-10",
+    n_parameters=335_000_000,
+    memory_usage_mb=1278,
+    embed_dim=1024,
+    license="mit",
+    max_tokens=4096,
+    reference="https://huggingface.co/w601sxs/b1ade-embed",
+    similarity_fn_name="cosine",
+    framework=["Sentence Transformers", "PyTorch"],
+    use_instructions=False,
+    public_training_code=None,
+    public_training_data=None,
+    training_datasets=b1ade_training_data,
+    adapted_from="BAAI/bge-large-en-v1.5" 
+    # Also (based on model merging)
+    # bert-large-uncased
+    # WhereIsAI/UAE-Large-V1
+    # BAAI/bge-large-en-v1.5
+    # mixedbread-ai/mxbai-embed-large-v1
+    # avsolatorio/GIST-large-Embedding-v0
+)